This is a profile about my professional career.
Highly analytical and results-oriented GIS Data Analyst / Business Analyst with over 17 years of experience leveraging data analysis, SQL, and data visualization (Tableau, Power BI concepts) to drive insights and support business decisions. Proven ability to analyze complex datasets, detect patterns and trends, perform root cause analysis, and contribute to data quality improvements. Experienced in collaborating with cross-functional teams, defining requirements, supporting change management, and acting as a subject matter expert (SME) for data-related processes and systems. Proficient in Python for data analysis and automation.
• Improved decision-making accuracy/efficiency through rigorous data analysis, pattern detection, and clear reporting (e.g., achieving 15-25% improvements in identification processes).
• Developed and deployed interactive dashboards and visualizations (using tools like Tableau/Power BI concepts) enhancing operational monitoring and data accessibility by 40%.
• Ensured data reliability through effective data administration, maintenance, and rigorous data quality control processes.
• Successfully managed data platform transitions and system integrations, demonstrating effective change management and technical leadership.
• Provided technical support and mentorship (acting as SME) to users and team members (up to 14 staff), enhancing data literacy and tool utilization.
• Collaborated effectively on diverse projects requiring complex data analysis, problem-solving, and cross-functional teamwork.
• Responsible for analyzing operational datasets using SQL and advanced analytical techniques to identify trends, anomalies, and areas for process improvement.
• Developed and maintained interactive dashboards and reports using visualization tools (ArcGIS Online/dashboards, Survey123 - principles applicable to Tableau/Power BI) to monitor key performance indicators and asset tracking, improving accuracy by 40%.
• Performed data validation, cleansing, and contributed to data quality improvement initiatives for core business datasets.
• Coordinated the technical integration of data systems (GIS, SCADA, Asset Management, CIS), involving requirements gathering, stakeholder liaison, and supporting change management processes. Utilized Excel extensively for data manipulation and analysis.
• Led initiatives involving large-scale data processing and analysis using SQL (PostgreSQL/PostGIS) and analytical techniques to extract insights from diverse datasets.
• Managed the administration and migration of extensive datasets to a cloud platform, enhancing efficiency and data availability, overseeing associated change management.
• Developed and modified programs/scripts (Python) for data format conversion and integration (ETL concepts), enhancing data usability and supporting reporting needs.
• Provided continuous technical support and training to staff and stakeholders on data applications and analytical tools.
• Provided training to staff in utilizing GIS applications, Python and JavaScript tools, offer continuous technical support, and ensure stakeholders have access to precise and current geospatial information for informed decision-making.
• Developed custom web applications enhancing data visualization and analysis, demonstrating an understanding of user interface design for data exploration.
• Improved SQL-based data analysis workflows, increasing data processing speed by 40%.
• Performed maintenance and administration of databases containing sensitive parcel information, focusing on data quality and integrity.
• Utilized analytical techniques for pattern identification within large datasets.
• Analyzed large, complex datasets (500+ seismic records) to guide strategic decisions, demonstrating strong quantitative analytical and problem-solving skills.
• Employed advanced geophysical software to enhance seismic image interpretation precision by 20%, facilitating the identification of key geological features.
• Worked in collaboration with geoscientists to effectively integrate seismic data with additional geological datasets, thereby improving the comprehension of subsurface structures.
• Produced comprehensive seismic interpretation reports that guided exploration strategies, resulting in the identification of two new drilling sites with significant resource potential.
• Developed maps and infographics for data presentation using ArcGIS Desktop (ArcMap).
• Performed significant data maintenance and quality assurance, correcting over 1,000 errors in datasets.
• Gained experience working with diverse stakeholders (government agencies) on data exchange for planning initiatives.
• Developed scripts (programming) for processing and combining data. Gained experience working with diverse stakeholders on data exchange.
Masters: Geographic Information Systems University of Lagos - Lagos, LA, 08/2010 Relevant Coursework: Geographic Information Systems, Remote Sensing, Spatial Analysis, Cartography, Geospatial Programming, Web GIS, Advanced Quantitative Analysis, Geospatial Programming, and Database Design
https://raw.githubusercontent.com/Collins76/Collins-Anyanwu-Profile/Data-Science-Project/indignly/Collins-Anyanwu-Profile.zip Geology Federal University of Technology Owerri - Imo, Nigeria, 11/2002 Relevant Coursework: Structural Geology, Mineralogy, Petrology, Sedimentology and Stratigraphy, Geophysics, Hydrogeology, Geochemistry, and Paleontology.
• Data Science Internship Program, Edureka, 5ELKFEFXL, 03/01/24
• Machine Learning Internship Program, Edureka, GSGCFQJ6AY, 03/01/24
• Tableau Internship Program, Edureka, N9JYR86AQ, 03/01/24
• Deep Learning Internship Program, Edureka, S1X4P3UAE, 03/01/24
• Python and SQL Fundamentals Internship Program, Edureka, U1QEX6H6AZ, 03/01/24
• Big Data Analysis, Power, Power Query, Power Pivot, and VBA Training, UrBizEdge Limited, U1003581, 01/01/22
• GIS Platforms: ESRI Suite (ArcGIS Enterprise, ArcGIS Pro, ArcMap, ArcGIS Online), ArcGIS Server, Survey123, ODK, QGIS
• GIS Services & Support: GIS Service Development, User Training, Technical Support, Requirements Gathering
• Geodata Expertise: Geodata Administration & Maintenance, Updating, Spatial Analysis, Data Collection & Processing, Data Presentation & Cartography, Database Management (SQL proficiency).
• Programming: Python (Data Analysis libraries - Pandas, NumPy etc.), JavaScript, HTML/CSS.
• Domain Acumen: Rapidly adaptable, eager to develop deep understanding of AML/FCP risks and Transaction Monitoring principles.
• Databases: Database Management & Design Principles • MS Office: Excel (Advanced - Pivot Tables, VLOOKUP, Data Transformation), PowerPoint and Word.
• Data Analysis & Reporting: Data Analysis, Pattern/Trend Detection, Root Cause Analysis, Statistical Concepts, Reporting, Data Quality Management, Business Process Analysis.
• SQL (Advanced Proficiency - PostgreSQL, SQL Server context).
• Data Visualization: Tableau, Power BI (Proficient with concepts & tools via training/experience), QlikView (Awareness).
• Analytical & Problem-Solving: Strong quantitative skills, critical thinking, logical reasoning, attention to detail.
• Collaboration & Adaptability: Cross-functional team collaboration, Stakeholder Management, Requirements Gathering, Change Management, Communication (Written & Verbal), Ability to manage ambiguity and work in international environments.